Hyunju Kim
· Assistant ProfessorUniversity of Washington · Epidemiology
Active 1987–2026
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About
Hyunju Kim is an assistant professor in the Department of Epidemiology at the University of Washington's School of Public Health. She is a nutritional and cardiovascular epidemiologist with a strong interest in multiple omics data, including metabolomics, proteomics, and epigenetics. Her research focuses on building evidence regarding the role of diets in cardiovascular disease prevention, identifying modifiable metabolic and biological pathways influenced by healthy diets, and uncovering early biomarkers and therapeutic targets for cardiovascular and kidney diseases. Dr. Kim utilizes high throughput omics data from feeding studies and large observational studies to advance understanding in these areas.
Research topics
- Internal medicine
- Medicine
- Psychology
- Biology
- Environmental health
- Cell biology
- Virology
- Neuroscience
- Endocrinology
- Immunology
Selected publications
Journal of Nutrition · 2025-03-19 · 4 citations
articleOpen accessAmerican Journal of Clinical Nutrition · 2025-06-02 · 3 citations
articleOpen accessSenior authorCorrespondingNovel Dietary Inflammatory Score and Risk of Incident CKD
Clinical Journal of the American Society of Nephrology · 2025-02-17 · 3 citations
articleOpen access1st authorKey Points Inflammation is relevant for CKD. Dietary intake influences inflammation. In 9814 individuals, our study found that concordance to a proinflammatory diet was associated with greater risk of CKD. Our results suggest that clinicians should consider recommending reducing dietary patterns high in inflammatory potential. Background Inflammation contributes to the onset of CKD. Diet is a modifiable risk factor for CKD; however, it remains unknown if the inflammatory potential of the diet is…
Korean Journal of Security Convergence Management · 2025-04-30 · 1 citations
article1st authorCorresponding연구목적 본 연구는 한국 노인의 디지털리터러시가 주관적 건강에 미치는 영향을 파악하기 위하여 시도되었다. 연구방법 보건복지부의 년 노인실태조사 2023 원자료를 활용하여 조사 노인 9,951명의 자료를 SPSS Ver. 30.0 프로그램을 이용하여 복합표본분석을 실시하였다. 2023년 노인실태조사자료에서 수집된 주관적 건강상태, 디지털리터러시, 성별, 연령, 거주지역, 직업, 교육수준, 소득, 만성질환, 건강행태(음주, 흡연, 운동), 인지수준, 우울증, 일상생활활동(ADL), 생활만족도 등의 변수를 이용하여 기술통계분석, t-test, ANOVA, 상관분석, 다중회귀분석을 실시하였다. 결과 복합표본회귀분석 결과, 일반특성, 건강행태(음주, 운동), 인지수준, 우울증, ADL, 생활만족도, 디지털리터러시가 노인의 주관적 건강에 영향을 미치는 모델이 통계적으로 유의한 것으로 나타났다. 이 모델의 설명력은 39.8%로 회귀모형의 적합성을 확인하였다. 결론 노인의 디지털리터러시가 높을수록…
Journal of Nutrition · 2025-04-12 · 1 citations
articleOpen access1st authorCorresponding
Frequent coauthors
- 101 shared
Casey M. Rebholz
Johns Hopkins University
- 40 shared
Josef Coresh
Bloomberg (United States)
- 32 shared
Lyn M. Steffen
University of Minnesota
- 25 shared
Alice H. Lichtenstein
United States Department of Agriculture
- 24 shared
Sara Imari Walker
- 23 shared
Lawrence J. Appel
Johns Hopkins University
- 22 shared
Kari E. Wong
Triangle
- 16 shared
Laura E. Caulfield
Johns Hopkins University
Education
- 2019
Ph.D
Johns Hopkins Bloomberg School of Public Health
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